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This chapter provides a detailed review of the Analysis capability. The authors draw from several disciplines to provide a definition and characterization of analysis suited to intelligence work. This chapter distinguishes clearly between analysis as a capability and analytics as a tool or a method. The distinction is essential for seeing and leveraging all of the activities involved in analysis, including Blueprint Interpretation, Analytical Method Selection, Model Construction, Source Collection, Source Organization, Source Curation & Cleaning, Testing, Interpretation, Results Assessment, and Model Documentation & Formalization. The chapter highlights the importance of analyzing the whole landscape, seeing all factors, and thinking strategically. This chapter also includes business stories and scenarios from the real world.

This study proposes targeted modernization of the Department of Defense (DoD's) Joint Forces Ammunition Logistics information system by implementing the optimized innovative information technology open architecture design and integrating Radio Frequency Identification Device data technologies and real-time optimization and control mechanisms as the critical technology components of the solution. The innovative information technology, which pursues the focused logistics, will be deployed in 36 months at the estimated cost of $568 million in constant dollars. We estimate that the Systems, Applications, Products (SAP)-based enterprise integration solution that the Army currently pursues will cost another $1.5 billion through the year 2014; however, it is unlikely to deliver the intended technical capabilities.

The authors use laboratory experiments to test two self-assessment tax mechanisms for facilitating land assembly. One mechanism is incentive compatible with a complex tax function, while the other uses a flat tax rate to mitigate implementation concerns. Sellers publicly declare a price for their land. Overstating its true value is penalized by using the declared price to assess a property tax; understating its value is penalized by allowing developers to buy the property at the declared price. The authors find that both mechanisms increase the rate of land assembly and gains from trade relative to a control in which sellers’ price declarations have no effect on their taxes. However, these effects are statistically insignificant or transitory. The assembly rates in our self-assessment treatments are markedly higher than those of prior experimental studies in which the buyer faces bargaining frictions, such as costly delay or capital constraints.

Utility strikes have spawned companies specializing in providing a priori analyses of the underground. Geophysical techniques such as Ground Penetrating Radar (GPR) are harnessed for this purpose. However, analyzing GPR data is labour-intensive and repetitive. It may therefore be worthwhile to amplify this process by means of Machine Learning (ML). In this work, harnessing the ADR design science methodology, an Intelligence Amplification (IA) system is designed that uses ML for decision-making with respect to utility material type. It is driven by three novel classes of Convolutional Neural Networks (CNNs) trained for this purpose, which yield accuracies of 81.5% with outliers of 86%. The tool is grounded in the available literature on IA, ML and GPR and is embedded into a generic analysis process. Early validation activities confirm its business value.

Nowadays, the increase in the capacity of batteries has laid the foundations for a broader diffusion of electric mobility. However, electric mobility is causing a growing electricity demand as well as the need to increase the diffusion of suitable charging stations. Within these last challenges, drawing on the recent literature, this chapter provides a critical and wide-ranging review of papers dealing with the formulation of the problem of the localisation of electric vehicle (EV) charging points. This problem is approached considering the electric charging infrastructure technologies, localisation criteria and related methodologies. This review shows how the ‘electric mobility revolution’ applies the technological innovations provided by the energy supply systems, and the location of these systems within the urban contexts. Since the technological innovations have different options, achieving an international standard of charging systems is still far away. Moreover, as there are several criteria, parameters and methodologies, and some analytical approaches for the localisation of electric vehicle charging points, the formulation of the ‘localisation’ problem should require the application of multi-criteria analysis to be addressed. Finally, the results show that there is no consensus on technologies, criteria, and methodologies to be adopted. Therefore, this wide-ranging analysis of the literature would be useful to support possible benchmarking and systematisation accordingly.

The atmospheric turn can be understood as a departure from the occidental dominant thing and event ontologies and opens the way to a situation ontology, in which subjective-bodily felt being-in is at the centre. The focus shifts from objective things or events to subjectively experienceable facts of being within situations and atmospheres. Atmospheres have an affective content, a peculiar non-dimensional spatiality and a hybrid status beyond the typical occidental dualisms, such as subject and object or inner and outer world. If the philosophical potential of the atmospheric turn is highlighted and taken seriously, then fundamental new perspectives in thought and action can reveal themselves.

This research focuses on the challenges of establishing a better medical system that can detect and diagnose diseases earlier. Using such cutting-edge health systems, healthcare practitioners may quickly and effectively manage patients’ medical issues by providing the appropriate data at the right time about the right people. The advancement of technology has increased the usefulness of devices that routinely analyse health measurements or monitoring time-sensitive health-related data. Medical professionals and patients alike are downloading health-related mobile apps to better track and manage their health. The research evidences how Internet of Things (IoT) technology may be used to support health care.

In the knowledge economy, greater togetherness is the prerequisite for innovating and having more: selflessness extends scope while selfishness increases limitations. But human beings are not automatically attracted to innovation: between the two lies culture and cultural values vary widely, with the egoistic accent or the altruistic intonation setting the scene. In the representations of open innovation we submit to the reader’s attention, selfishness and selflessness are active in the cultural space.

Popularized in the early 2000s, open innovation is a systematic process by which ideas pass among organizations and travel along different exploitation vectors. With the arrival of multiple digital transformative technologies and the rapid evolution of the discipline of innovation, there was a need for a new approach to change, incorporating technological, societal and policy dimensions. Open Innovation 2.0 (OI2) – the result of advances in digital technologies and the cognitive sciences – marks a shift from incremental gains to disruptions that effect a great step forward in economic and social development. OI2 seeks the unexpected and provides support for the rapid scale-up of successes.

‘Nothing is more powerful than an idea whose time has come’ – this thought, attributed to Victor Hugo, tells us how a great deal is at stake with open innovation. Amidon and other scholars have argued that the twenty-first century is not about ‘having more’ but about ‘being more’. The promise of digital technologies and artificial intelligence is that they enable us to extend and amplify human intellect and experience. In the so-called experience economy, users buy ‘experiences’ rather than ‘services’. OI2 is a paradigm about ‘being more’ and seeking innovations that bring us all collectively on a trajectory towards sustainable intelligent living.

We live in the Age of Knowledge, which is impelling us towards the Age of Imagination. The technological wave rises and with it rises a wave of change that will affect both the economy and society. When these two waves will reach the coast where knowledge meets ignorance, and how to ride them, are questions that require us to imagine the future. We must, therefore, embark on the vessel of imagination, leaving behind us the baggage of what we know and understand. Imagination is not just the springboard for ideas; it also acts to connect ideas in different ways that may blossom in the garden of an entrepreneurial renaissance. Symbols, metaphors and concepts that belong to our tacit knowledge come to light in our memory. It is from here that the imagination draws its lifeblood, broadening our horizons, inducing us to interact with others who may be the bearers of other cultures. Are we ready to engage in an imaginative learning process to join business with innovation and art? Are we prepared to design a wide-open white space where the actors of entrepreneurship, innovation and art can generate a constructive tension that will sweep away what appears to be mutual antagonism or incompatibility?